欢迎访问深圳大学机电与控制工程学院官方网站!
王怀智      副研究员

性别:

邮箱: wanghz@szu.edu.cn

办公室: S626

人才称号: 深圳市孔雀计划C类、深圳南山区领航C类

最终学位: 博士(PhD)

办公电话:

导师资格: 硕士生导师

研究领域:

(1)机器人技术与人工智能(机器人、深度学习、机器视觉,适合就业);
(2)海上风电与多端直流(风电场、控制理论、系统稳定性、多端直流输电,适合深造);
欢迎优秀硕士生(包括东莞联培)自荐,请邮箱(wanghz@szu.edu.cn)联系。
长期招聘博士后、副研究员、RA(Research Assistant),欢迎邮件联系。

主讲本科课程:

微机原理与接口技术;DSP技术;智能控制基础;电机拖动;机器视觉

主讲研究生课程:

系统工程

教育背景:

1. 2012/09-2015/07,华南理工大学, 电力系统及其自动化,博士
2. 2009/09-2012/07, 深圳大学, 控制科学,硕士
3. 2005/09-2009/07, 深圳大学, 自动化科学,学士

工作履历:

1. 2014/05-2015/05, 香港理工大学, 电气工程系, Research Assistant
2. 2015/07-2017/09, 深圳大学, 自动化科学系, 助理教授
3. 2017/09-目前, 深圳大学, 自动化科学系, 副研究员

主持项目:

(1) 深圳市孔雀计划,交直流混联输电系统的运行振荡风险及抑制策略研究,2020.01-2022.12,270万;
(2) 深圳市科技创新委员会,含多端直流输电的深圳电力系统运行振荡风险分析及抑制策略,2020.01-2022.12,40万;
(3) 深圳市腾讯计算机系统有限公司,电力系统运行振荡规律分析,2019.09-2019.12,10万。
(4) 国家自然科学基金,电力系统频率动态交互模型及高维目标深度协同控制研究,2018.01-2020.12,25万;
(5) 广东省科技厅,电力系统频率动态交互模型及高维目标深度协同控制研究,2017.03-2020.03,10万;
(6) 深圳大学校启动项目,基于新能源区间预测的智能电网自动发电控制研究,2016.06-2018.06,6万。

代表期刊论文 :

第一作者论文:
[1] Huaizhi Wang et al, Deep belief network based deterministic and probabilistic wind speed forecasting approach, Applied Energy, 2016.11.15, 182: 80~93.(被引160次,ESI前0.1%热点论文,ESI前1%高被引论文,获Applied Energy年度高被引论文奖,深圳大学机电学院第一篇高被引论文,中科院JCR大类一区、小类一区,顶级期刊,深度学习领域)
[2] Huaizhi Wang, et al, Deep learning based ensemble approach for probabilistic wind power forecasting, Applied Energy, 2017.2.15, 2017(188): 56~70.(被引210次,ESI前1%高被引论文,获Applied Energy年度高被引论文奖,深圳大学机电学院第二篇高被引论文,中科院JCR大类一区、小类一区,顶级期刊,深度学习领域)
[3] Huaizhi Wang, et al, GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system, Energy Conversion and Management, 2017.12.1, 202: 57~73. (被引10次,中科院JCR大类一区、小类一区,顶级期刊, 能源调度领域)
[4] Huaizhi Wang, et al, Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network, Energy Conversion and Management, Volume 153, 2017, Pages 409-422. (被引57次,中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[5] Huaizhi Wang, et al. Deep learning-based interval state estimation of AC smart grids against sparse cyber attacks [J], IEEE Transactions on Industrial Informatics, 2018, 14 (11): 4766-4778. (被引35次,中科院JCR大类一区、小类一区,顶级期刊,信息科学领域)
[6] Huaizhi Wang, et al. Dynamic Data Injection Attack Detection of Cyber-Physical Power Systems with Uncertainties [J], IEEE Transactions on Industrial Informatics, 15 (10): 2019. (中科院JCR大类一区、小类一区,顶级期刊,信息科学领域)
[7] Huaizhi Wang, et al. A review of deep learning for renewable energy forecasting system [J], Energy Conversion and Management, 2019, 198: 111799. (中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[8] Huaizhi Wang, et al. Echo state network based ensemble approach for wind power forecasting [J], Energy Conversion and Management, 2019, 201: 112188. (中科院JCR大类一区、小类一区,顶级期刊,机器学习领域)
[9] Huaizhi Wang, et al. Deep Learning Aided Interval State Prediction for Improving Cyber Security in Energy Internet [J], Energy, 2019, 174: 1292-1304. (中科院JCR大类二区、小类一区,顶级期刊,深度学习领域)
[10] Huaizhi Wang, et al. Unscented Kalman Filter based interval state estimation of cyber physical energy system for detection of dynamic attack [J], Energy, 2019, 188:116036. (中科院JCR大类二区、小类一区,顶级期刊,深度学习领域)
[11] Huaizhi Wang, et al. Multiobjective Reinforcement Learning-Based Intelligent Approach for Optimization of Activation Rules in Automatic Generation Control [J], IEEE ACCESS, 2019, 7: 17480 - 17492.(中科院JCR大类二区,控制科学领域)
[12] Huaizhi Wang, et al. Dynamic Equivalent Based Reliability Evaluation of Distribution Systems with DGs, IET Generation Transmission & Distribution, 2016.3.15, 101(32): 78~89.(中科院JCR大类三区,可靠性领域)
[13] Huaizhi Wang, et al. Recursive Method for Distribution System Reliability Evaluation[J], Energies, 2018, 11(10): 2681.(中科院JCR大类三区,可靠性领域)
[14] Huaizhi Wang, et al, Probabilistic Wind Power Forecasting Based on Spiking Neural Network, Energy, 2020, 117072.(中科院JCR大类二区、小类一区,顶级期刊,机器学习领域)


通信作者:
[1] Gui-bin Wang, Xian Zhang, Huai-zhi Wang*, et al., "Robust Planning of Electric Vehicle Charging Facilities with Advanced Evaluation Method," in IEEE Transactions on Industrial Informatics, vol. PP, no. 99, pp. 1-1.(中科院JCR大类一区、小类一区,顶级期刊)
[2] Xian Zhang, Huaizhi Wang*, Jian-chun Peng, Yitao Liu, Guibin Wang, Hui Jiang, GPNBI inspired MOSDE for electric power dispatch considering wind energy penetration, Energy, Volume 144, 1 February 2018, Pages 404-419, ISSN 0360-5442. (中科院JCR大类一区、小类一区,顶级期刊)
[3] Yitao Liu, Shan Yin, Xuewei Pan, Huaizhi Wang, Guibin Wang and Jianchun Peng, Effects of Nonlinearity in Input Filter on the Dynamic Behavior of an Interleaved Boost PFC Converter, Energies 2017, 10(10), 1530; doi:10.3390/en10101530.
[4] Xian Zhang, Kevin Chan, Huaizhi Wang*, et al. Game-theoretic planning for integrated energy system with independent participants considering ancillary services [J], Energy, 2019, 176: 249-264.
[5] Saddam Aziz, Huaizhi Wang*, et al. Variable Universe Fuzzy Logic-Based Hybrid LFC Control With Real-Time Implementation [J], IEEE ACCESS, 2019, 7: 25535 - 25546.
[6] Gangqiang Li, Huaizhi Wang*, et al. Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach [J], Energies, 2019, 12(13): 2538.
[7] Saddam Aziz, Jianchun Peng, Huaizhi Wang*, et al. ADMM Based Distributed Optimization of Hybrid MTDC-AC Grid for determining Smooth Operation Point [J], IEEE ACCESS, 2019, 7: 74238 – 74247.

代表会议论文:

[1] J. Ruan, H. Wang*, S. Aziz, G. Wang, B. Zhou and X. Fu, "Interval state estimation based defense mechanism against cyber attack on power systems," 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, 2017, pp. 1-5.
[2] H Yi, H Wang, R Zhang, J Peng, Forecasting Photovoltaic Power using a Convolutional Neural Network and the Wavelet Transformation, DEStech Transactions on Computer Science and Engineering, vol. PP, no. 99, pp. 1-1.
[3] Y. Liu, Z. Song, H. Wang, G. Wang, J. Peng and S. Yin, "Comparative evaluation of WBG and Si power devices for the flyback converter," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 964-969.
[4] Y. Liu, D. Jin, H. Wang, G. Wang, J. Peng and S. Yin, "Double closed-loop control strategy of LCL three-phase grid-connected inverter," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 2017, pp. 1107-1112.
[5] Y. Liu, Jianchun Peng, Guibin Wang, Huaizhi Wang and K. Y. See, "LCL filter design and analysis of grid-connected converter for power quality and EMI compliance," 2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC), Shenzhen, 2016, pp. 142-144.
[6] Yitao Liu, Dianheng Jin, Huaizhi Wang, Guibin Wang, Jianchun Peng and Y. Shan, "Magnetic components design of LCL filter in the grid connected power converter," 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia), Kaohsiung, 2017, pp. 1189-1193.
[7] Y. Liu, Jianchun Peng, Guibin Wang, Huaizhi Wang and K. Y. See, "THD and EMI performance study of foil-wound inductor of LCL filter for high power density converter," 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, 2016, pp. 3467-3471.

代表专利:

(1) 一种电力系统区间状态估计方法,王怀智、薛雯丽、周斌、曹广忠, 2019

代表著作:

人工智能预测技术,拟出版
电力系统网络攻击、检测、重构和分离,拟出版

获得荣誉:

• 深圳市海外高层次人才孔雀计划C类, 2018;
• 深圳市南山区领航人才, 2018);
• Applied Energy 年度高被引论文奖(两次),2018,深圳大学机电学院唯一获奖者;
• 深圳大学论文一等奖多次,2017/2018/2019;
• IEEE PowerCon 国际最佳会议论文奖,2018;
• IET APSCOM 国际最佳会议论文奖,2018;
• IEEE ACCESS 国际大类二区杂志特邀编辑(Guest AE),2019;
• IEEE T Smart Grid 国际年度最佳审稿人,2018/2019。

主要学术兼职:

• 国际IEEE会员;
• 国际IEEE PES 会员;
• 国家自然科学基金评审专家;
• IEEE ISGT 智能电网创新技术国际会议分会主席;
• 担任IEEE Transactions on Power Systems/IEEE Transactions on Smart Grid/IEEE Transactions on Sustainable Energy/IEEE Transactions on Industrial Informatics/Applied Energy/Energy/Energy Conversion and Management etc等十多个国际著名SCI杂志的审稿人。

  • 上一篇:王贵斌
  • 下一篇:没有了